Triple
T20267186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Happens Next |
E498998
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Invisible |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Invisible | Statement: [What Happens Next, hasTrack, Invisible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Invisible Context triple: [What Happens Next, hasTrack, Invisible]
-
A.
Invisible
"Invisible" is a posthumously released pop song by American singer Christina Grimmie that showcases her powerful vocals and emotive style.
-
B.
Invisible
chosen
"Invisible" is a track from will.i.am's 2007 pop and hip-hop album *Songs About Girls*.
-
C.
Invisible
Invisible is a 2009 novel by Paul Auster that follows a young aspiring poet whose life is irrevocably altered by a chance encounter with a mysterious couple in 1967 New York, exploring themes of identity, memory, and narrative unreliability.
-
D.
Invisibly
Invisibly is a data and advertising technology company that aims to give consumers control over their personal data and how it is monetized.
-
E.
Almost Invisible
Almost Invisible is a late collection of brief, surreal, and often humorous prose poems by American poet Mark Strand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674d001f081908910eedd262ae13a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:42 p.m.